Profile Job Results
Jobs
jprwl7795
Results Ready
Name
crestereo
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
left_image: float32[1, 3, 240, 320]right_image: float32[1, 3, 240, 320]left_image_dw2: float32[1, 3, 120, 160]right_image_dw2: float32[1, 3, 120, 160]Completion Time
8/8/2026, 11:12:38 AM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
278 ms
Estimated Peak Memory Usage
0 ‑ 44 MB
Compute Units
NPU
12443
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.93 min | 1 GB |
Subsequent App Load | 608 ms | 37‑46 MB |
Inference | 278 ms | 0‑44 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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